Powered by standards new data tools for the climate sciences. Dr Andrew Woolf STFC Rutherford Appleton Lab, UK

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1 Powered by standards new data tools for the climate sciences Dr Andrew Woolf STFC Rutherford Appleton Lab, UK EGU General Assmebly, Vienna, Splinter Session SPM23, 22-Apr-2009

Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a

The broad objectives and partner organisations are presented in the ERA-40 back

2 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

3 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) ISO EX_Extent European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

4 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) ISO MD_Keywords ISO EX_Extent European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

5 Geogle temperature thesaurusname: CF definition ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) ISO MD_Keywords ISO EX_Extent European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

6 Geogle temperature thesaurusname: CF definition ISO ( Feature concept dictionary and registers ) ERA40 The ECMWF ERA-40 Re-Analysis ISO Project ( Procedures consists of a number for of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data item overlaps registration ) with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) ISO MD_Keywords ISO EX_Extent European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

8 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations ISO MD_ReferenceSystem Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

9 Geogle temperature authority: BADC ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning definition the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations ISO MD_ReferenceSystem Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

10 Geogle temperature authority: BADC ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning definition the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) ISO ( Spatial referencing by coordinates Part 2: Extension for parametric values ) European Synoptic stations ISO MD_ReferenceSystem Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

11 ISO Proposed by UK as NWIP late 2006 DIS voted for publication this year! E.g. pressure

12 ISO datum: parameter or set of parameters that define the position of the origin, the scale, and the orientation of a coordinate system (ISO 19111) parametric datum: datum describing the relationship of a parametric coordinate system to an object. NOTE: The object is normally the Earth. (ISO ) Could have been more imaginative with parametric datum! e.g. full atmospheric density field...

13 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations ISO MD_ContentInformation Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

14 Geogle temperature featurecatalogue: CSML ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate featuretype datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations ISO MD_ContentInformation Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

15 Geogle temperature featurecatalogue: CSML ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate featuretype datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) ISO ( Methodology for feature cataloguing ) European Synoptic stations ISO MD_ContentInformation Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

16 cd Abstract CSML Feature Climate Science Modelling Language (CSML) ProfileFeature CV_Coverage Discrete Cov erages::cv_discretecov erage + locate(directposition*) : Set<CV_GeometryValuePair> «type» Affordance:: CSMLAffordance «implement» «realize» Coverage Types:: CSMLCoverage +value «FeatureType» CSMLFeature GridFeature +/ rangeset: Record [0..*] +domainset «ObjectType» Domain geometries:: CSMLCoverageDomain +parameter AnyDefinition «ObjectType» phenomenon:: Phenomenon ProfileSeriesFeature RaggedSectionFeature ScanningRadarFeature

17 Climate Science Modelling Language (CSML) cd O&M CV_DiscreteGridPointCoverage Coverage Types:: ProfileSeriesCov erage +/ domainset: ProfileSeriesDomain +/ rangeset: Record [0..*] +value +result «Union» procedure::procedure + procedureuse: ProcedureEvent + standardprocedure: ProcedureSystem +procedure 1 +generatedobservation 0..* «FeatureType» observ ation::observ ation Event + quality: DQ_DataQuality [0..1] + responsible: CI_ResponsibleParty [0..1] + result: Any O&M Sampling Features informed by CSML CSML v3 will specialise SF «FeatureType» Feature Types:: ProfileSeriesFeature + location: DirectPosition [0..1] +featureofinterest +observedproperty +parameter AnyDefinition «ObjectType» phenomenon:: Phenomenon 1 {Definition must be of a phenomenon that is a property of the featureofinterest} SF-coverage pattern documented in ISO 19156? An Observation is an Event whose result is an estimate of the value of some Property of the Featureof-interest, obtained using a specified Procedure

18 ISO Feature Catalogue EU FP6 project MOTIIVE developed ebrim-based Feature Catalogue OGC , Feature Type Catalogue Extension package link

19 ISO Feature Catalogue EU FP6 project MOTIIVE developed ebrim-based Feature Catalogue OGC , Feature Type Catalogue Extension package link

20 ISO Feature Catalogue EU FP6 project MOTIIVE developed ebrim-based Feature Catalogue OGC , Feature Type Catalogue Extension package link

21 Geogle temperature ISO CI_OnlineResource ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

22 Geogle temperature ISO CI_OnlineResource ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) applicationprofile: WFS linkage: right click/copy European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

23 Open tool xxx Lowe & Woolf: EGU , 18:30 Thursday

24 Open tool xxx Data service URL: Lowe & Woolf: EGU , 18:30 Thursday

25 Open tool xxx Data Available service Feature Types somefc:ftxxx URL: CSML:GridSeries Lowe & Woolf: EGU , 18:30 Thursday

26 Open tool xxx Data Available FTxxxservice queries Feature Types somefc:ftxxx querya featid: URL: CSML:GridSeries queryb param1: queryc param2:... 1cf576b intersect Lowe & Woolf: EGU , 18:30 Thursday

3 subsetprofileseries queryc param2:... 1cf576b712ace5b9 http://mywfs.

27 Open tool xxx CSML:GridSeries Data Available FTxxxservice queries Feature queries Types subsetprofile somefc:ftxxx querya featid: atlocof: subsetpointseries URL: CSML:GridSeries queryb param1: 25.3 subsetprofileseries queryc param2:... 1cf576b712ace5b9 intersect Lowe & Woolf: EGU , 18:30 Thursday

28 WFS - encoding ISO/TS Imagery, gridded and coverage data framework Distinguishes logical content from exchange format and mappings between them (GML can mediate) Application schema also for coverage-based data

29 Encoding Model ( GML wrapper ): GML feature skeleton (e.g. CSML) Binary file flesh (e.g. netcdf) xlink for mappings xlink:href = file resource xlink:role = nature of resource ( CF-netCDF ) xlink:arcrole = nature of xlink ( embed content ) OGC : Use of xlink in GML Profile for filebased data content link INSPIRE D2.7: Guidelines for the encoding of spatial data, Annex C (Encoding of file-based data) link

30 Encoding What about irregular grids? Need GML implementation of ISO CV_ReferenceableGrid OGC : our original proposal OGC : Galdos alternative OGC : combined proposal link Compatible with CF-netCDF coordinate variables Currently being considered by GML SWG

31 Climatological parameters? SWE Common Property model class Figure: phenomenon «DataType» TypedValue + propertytype: PropertyType + value: Any base 1 base 1 PropertyType 0..1 base 1..* component ConstrainedPropertyType + singleconstraint: TypedValue [0..*] + otherconstraint: CharacterString [0..*] CompoundPropertyType + dimension: Integer Composition PropertyTypeSeries CompositePropertyType +/ constraintlist: Sequence<TypedValue> [1..*] + otherconstraint: CharacterString [0..*]

32 Climatological parameters? SWE Common Property model class Figure: phenomenon «DataType» TypedValue + propertytype: PropertyType + value: Any base 1 base 1 PropertyType 0..1 base 1..* component otherconstraint for statistical operator (e.g. point, sum, mean, maximum, minimum, mid_range, standard_deviation, variance, mode, and median) ConstrainedPropertyType + singleconstraint: TypedValue [0..*] + otherconstraint: CharacterString [0..*] PropertyTypeSeries CompoundPropertyType + dimension: Integer Composition CompositePropertyType +/ constraintlist: Sequence<TypedValue> [1..*] + otherconstraint: CharacterString [0..*]

33 Climatological parameters? SWE Common Property model class Figure: phenomenon singleconstraint for coverage CRS axis over which operator is applied (TypedValue.propertyType), and co-domain for that axis (TypedValue.value) otherconstraint for statistical operator (e.g. point, sum, mean, maximum, minimum, mid_range, standard_deviation, variance, mode, and median) «DataType» TypedValue + propertytype: PropertyType + value: Any base 1 base ConstrainedPropertyType + singleconstraint: TypedValue [0..*] + otherconstraint: CharacterString [0..*] PropertyTypeSeries +/ constraintlist: Sequence<TypedValue> [1..*] + otherconstraint: CharacterString [0..*] 1 PropertyType 0..1 base CompoundPropertyType + dimension: Integer 1..* component CompositePropertyType Composition

34 Climatological parameters? E.g. January 2007 maximum temperature <swe:constrainedphenomenon gml:id="jan2007maxtemp"> <gml:identifier codespace=" maximum temperature</gml:identifier> <swe:base xlink:href="urn:ndg:cf:air_temperature"/> <swe:otherconstraint>maximum</swe:otherconstraint> <swe:singleconstraint> <swe:typedvalue> <swe:property codespace=" <swe:value> / </swe:value> </swe:typedvalue> </swe:singleconstraint> </swe:constrainedphenomenon>

35 Climatological parameters? E.g. January 2007 maximum temperature <swe:constrainedphenomenon gml:id="jan2007maxtemp"> <gml:identifier codespace=" maximum temperature</gml:identifier> <swe:base xlink:href="urn:ndg:cf:air_temperature"/> <swe:otherconstraint>maximum</swe:otherconstraint> <swe:singleconstraint> <swe:typedvalue> <swe:property codespace=" <swe:value> / </swe:value> </swe:typedvalue> </swe:singleconstraint> </swe:constrainedphenomenon> air temperature

36 Climatological parameters? E.g. January 2007 maximum temperature <swe:constrainedphenomenon gml:id="jan2007maxtemp"> <gml:identifier codespace=" maximum temperature</gml:identifier> <swe:base xlink:href="urn:ndg:cf:air_temperature"/> <swe:otherconstraint>maximum</swe:otherconstraint> <swe:singleconstraint> <swe:typedvalue> <swe:property codespace=" <swe:value> / </swe:value> </swe:typedvalue> </swe:singleconstraint> </swe:constrainedphenomenon> air temperature constrained by maximum operator

xlink:href="urn:ndg:cf:air_temperature"/>

37 Climatological parameters? E.g. January 2007 maximum temperature <swe:constrainedphenomenon gml:id="jan2007maxtemp"> <gml:identifier codespace=" maximum temperature</gml:identifier> <swe:base xlink:href="urn:ndg:cf:air_temperature"/> <swe:otherconstraint>maximum</swe:otherconstraint> <swe:singleconstraint> <swe:typedvalue> <swe:property codespace=" <swe:value> / </swe:value> </swe:typedvalue> </swe:singleconstraint> </swe:constrainedphenomenon> air temperature constrained by maximum operator over January 2007

38 Climatological parameters? What about climatological calendars? induce a multi-component range summer (DJF), autumn (MAM), winter (JJA), spring (SON) Jan, Feb, Mar, Apr, May, Jun, Jul, Aug, Sep, Oct, Nov, Dec 00:00, 01:00, 02:00, 03:00,..., 21:00, 22:00, 23:00 how to model them? TM_OrdinalReferenceSystem with set of component TM_OrdinalEras for climatological intervals TM_OrdinalEras topologically connected DJF MAM JJA SON

39 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis project ( ). The broad objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

40 Geogle temperature ERA40 The ECMWF ERA-40 Re-Analysis Project consists of a number of climate datasets spanning the period mid-1957 to August 2002 using a consistent model. The data overlaps with the earlier ECMWF ERA-15 Re-analysis applicationprofile: project ( ). The broad WMS objectives and partner organisations are presented in the ERA-40 background information. badc.nerc.ac.uk air_potential_temperature GridSeries (xypt) linkage: right click/copy European Synoptic stations Hourly Surface data from 141 European stations for the period Parameters include temperature, wind, rainfall, cloud cover etc. badc.nerc.ac.uk air_temperature PointSeries (xyzt)

41 View services Non-standard slices: vertical BBOX=110,-45,190,-45,1000,1000&ELEVATION=100/950 Hovmüller BBOX=110,-45,190,-45,1000,1000&TIME= /

42 3. GET MAP OPERATION 3.1. Get Map Request View services Get Map request parameters The Get Map request parameters listed in Table 5 shall be provided Table 5 INSPIRE IR Parameter Layers Styles Coordinate Reference System Bounding box Image width Image height Image format Description List of layer names to be included in the map. List of style to be used for each layer. Coordinate Reference System of the map. The 4 corner Coordinate of the two dimensional map for the selected Dimension pair and in the selected Coordinate Reference System The map width in pixels The map height in pixels The output image format. Draft COMMISSION REGULATION implementing Directive 2007/2/EC of the European Parliament and of the Council as regards the network services link Language Dimension Pair language to be used for the response The two dimensional axis to be used for the map For example a geographical dimension and time

View services INSPIRE draft IR Our comments on v2: Suggest adding the following text: For three-dimensional and/or temporally-varying data, the view service shall support geometry selection over a

43 View services INSPIRE draft IR Our comments on v2: Suggest adding the following text: For three-dimensional and/or temporally-varying data, the view service shall support geometry selection over a vertical or temporal axis. NOTE: The WMS interface allows such geometry selection. E.g. a vertical slice can be generated using the ELEVATION parameter and a BBOX such as BBOX=X,y0,X,y1 (for a y-z slice); an x-t slice could be generated, for instance, using TIME=t1/t2 and BBOX=x0,Y,x1,Y.

44 Summary Powerful new functionality becoming available through standards metadata interoperability data interoperability common data model common query model standardised encodings service interoperability

45 Questions? A. Woolf et. al., Standards-based data interoperability for the climate sciences, Met. Apps. 12(1), 9-22 (2005) D Lowe et. al., Standards Challenges in the Climate Sciences, AGU Fall Meeting, San Diego, Dec 2006., Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract IN43C-0916 A Woolf et. al., Data integration with the Climate Science Modelling Language, Adv. in Geosci. 8(1), (2006) K Millard et. al., Developing feature types and related catalogues for the marine community: lessons from the MOTIIVE project, Int. J. Spatial Data Infrastructures Res. 2, A Woolf et. al., Feature types as an integration bridge in the climate sciences, AGU Fall Meeting, San Diego, December 2006, Eos Trans. AGU, 87(52), Fall Meet. Suppl., Abstract IN53C-02

INSPIRE General Introduction & Service Architecture

INSPIRATION Spatial Data Infrastructure in the Western Balkans INSPIRE General Introduction & Service Architecture 1st National INSPIRATION Workshop Croatia November 21-22, 2012 A multi-countryprojectfunded